Free resource

Law Firm AI Visibility Checklist

12 checks your marketing team can run today — no audit required. Covers directory profiles, content structure, entity consistency, and freshness cadence.

  • Tier 1 directory audit — Chambers, Martindale, Best Lawyers, Legal 500 presence check
  • Entity consistency check — firm name, address, attorney roster across all platforms
  • Content structure review — answer-ready content and FAQ coverage
  • Freshness audit — last-updated dates and refresh cadence check
  • AI bot access check — confirm all five platforms can crawl and cite your site
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12 checks your marketing team can run today. Takes about 20 minutes to complete — and most firms find at least 4–5 gaps they didn't know were there.
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Work through the 12 items below. Most firms find 4–5 gaps they didn't know were there.

Check each item as you go. When you're done, we can run a full audit to show you exactly where your firm stands — and how you compare to the firms already appearing in AI recommendations for your practice areas.

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Section 1 — Tier 1 Directory Presence
  • Chambers & Partners profile is claimed, complete, and reflects current practice areas and attorneys
    Chambers carries the highest citation weight of any source in legal AI retrieval. AI models have been trained on legal content where Chambers rankings are cited as proof of expertise — a firm absent from or poorly described in Chambers loses recommendation weight on ChatGPT, Perplexity, and Claude simultaneously.
    → Check: Log in to Chambers Connect and verify your profile. Are practice area descriptions specific (not generic)? Is the attorney roster current? Is the firm description factual — numbers, deal types, client industries — rather than aspirational?
  • Martindale-Hubbell profile is complete with all practice areas, attorney bios, and contact information
    Martindale has the longest publishing history of any legal directory and carries strong entity recognition weight with Claude and ChatGPT. Outdated profiles — old attorney rosters, stale practice area descriptions — create entity fragmentation that reduces AI confidence in attributing your credentials to your firm.
    → Check: Visit your firm's Martindale listing directly (don't just check your dashboard). Is the attorney roster current? Is the AV Preeminent rating displayed if you have one? Is the address format exactly as it appears on your website?
  • Best Lawyers and/or Legal 500 profiles are current and accurately reflect the firm's positioning
    Both are editorially verified, which means AI systems treat them as high-trust sources. Best Lawyers rankings are particularly prominent in AI training data due to their longevity and annual publication. Being listed but poorly described wastes the trust signal — it tells AI you exist but not what you're actually best at.
    → Check: Does each ranked attorney have a complete bio that states their specific practice focus — not just a practice area label? Are current-year rankings reflected? Does the firm description match how you want to be positioned?
  • All Tier 1 directory listings use exactly the same firm name and address format — including suite number and legal entity suffix
    "Smith & Jones LLP," "Smith and Jones Law Firm," and "Smith & Jones" are three different entities to an AI. Every variation fragments your entity model, reducing the AI's confidence in aggregating your credentials across sources. The address matters too — "Suite 400" and "4th Floor" are the same office, but AI doesn't know that.
    → Check: Open each directory profile side by side. Compare the exact firm name (including punctuation and suffix), street address, suite format, city, state, and zip. They must be character-for-character identical.
Section 2 — Entity Consistency
  • Firm name is identical across all platforms — website, Google Business Profile, LinkedIn, all directories
    Entity consistency is how AI knows your Chambers profile, your Google Business Profile, your LinkedIn page, and your website are all the same organization. Every discrepancy is a signal of lower reliability — and AI systems respond by reducing how confidently they attribute your credentials to you across all platforms at once.
    → Check: Google your firm name. Look at the first 7–10 results. Is the name format exactly the same on each listing? Pay attention to "&" vs "and," LLC vs LLP, and whether a DBA appears on some but not others.
  • Attorney roster is consistent — same names, titles, and practice areas across website, directories, and LinkedIn
    AI evaluates firms in part through their attorneys. A partner listed on your website but absent from Chambers, or described as a "corporate attorney" on LinkedIn but a "M&A specialist" in your directory, creates entity fragmentation. AI treats these as different people, diluting both the firm's and the attorney's authority signals.
    → Check: Pick your 3 most prominent partners. Verify name, title, and primary practice area description matches across: firm website, LinkedIn, Chambers, Martindale, and any other directories they appear in. Inconsistencies in even one field carry weight.
  • Website has Organization schema markup with firm name, address, phone, URL, and sameAs links to directory profiles
    Schema markup is the clearest direct signal you can give AI about who your firm is. The sameAs property explicitly tells AI that your Chambers profile and your Martindale listing both refer to the same organization — dramatically improving entity recognition without requiring AI to infer it from pattern-matching across inconsistent sources.
    → Check: Right-click your homepage, select "View Source," and search for "schema.org" or "@type": "Organization". If nothing appears, your site is missing structured data entirely. Google's Rich Results Test (search.google.com/test/rich-results) will also show what schema is present.
Section 3 — Content Structure
  • Each practice area page opens with a specific, extractable 40–60 word answer — not marketing language
    AI retrieves content in 2–4 sentence chunks, evaluating each block independently. "Our firm brings decades of experience to complex matters" gives AI nothing to cite. "The firm's M&A practice represents technology companies in cross-border acquisitions ranging from $50M to $800M, with 14 completed transactions since 2022" gives AI three extractable claims it can attribute to you.
    → Check: Open your top 3 practice area pages and read the first paragraph. Does it state specifically what you do, for what type of clients, with what credentials? If the first 50 words could apply to any law firm in your city, it needs to be rewritten.
  • Practice area pages include FAQ sections with natural-language questions matching how clients actually ask
    FAQ format is naturally answer-ready — each question-answer pair is self-contained and directly addresses a client query. AI retrieves FAQ content at significantly higher rates than narrative prose because the structure makes the claim extractable without requiring surrounding context. It also directly targets the sub-queries AI fans out to during its retrieval process.
    → Check: Do your practice area pages have FAQ sections at all? If yes, do the questions sound like things clients actually ask ("What does an M&A attorney do for a buyer?") or like things firms want to answer ("What sets your firm apart?"). AI retrieves the former, not the latter.
  • Content is written in specific, factual chunks — numbers, outcomes, client types — not aspirational marketing prose
    "Extensive experience" is not a fact AI can cite. "Led 14 federal trials since 2019 with an 85% favorable outcome rate" is. AI cannot extract claims it cannot verify or attribute. Every paragraph written only in marketing language — aspirational, adjective-heavy, non-specific — is invisible to AI retrieval regardless of how many times it appears on the page.
    → Check: Read one practice area page and highlight every specific fact — a number, a named attorney, a case type, an outcome, a client industry. If fewer than one in three sentences contains a specific fact, the page is underperforming in AI retrieval. The fix is not to rewrite entirely but to add a factual sentence to each paragraph that currently has none.
Section 4 — Freshness & Access
  • A monthly content refresh cadence is in place for high-value practice area pages and attorney profiles
    Temporal freshness accounts for 44.2% of Perplexity's citation algorithm — the single largest variable in whether content gets cited at all. Content not updated within approximately 30 days begins losing citation velocity. A competitor publishing thinner content on a disciplined monthly refresh cadence will outperform a firm with stronger content on a quarterly publishing schedule. Publishing is the entry point. Maintaining is the strategy.
    → Check: When were your top 5 practice area pages last meaningfully updated? View the page source and search for "dateModified" — that's what AI crawlers read. A "meaningful update" doesn't require a rewrite: adding one current statistic, a new matter reference, or a new FAQ entry resets the freshness clock.
  • robots.txt explicitly allows GPTBot, PerplexityBot, ClaudeBot, Google-Extended, and Bingbot
    If these crawlers are blocked in your robots.txt, those platforms literally cannot retrieve or cite your content — regardless of how good it is. This is more common than it sounds: IT teams implementing broad bot-blocking rules for security often accidentally include AI crawlers. A single Disallow line can remove your firm from an entire AI platform's recommendation pool.
    → Check: Go to yourdomain.com/robots.txt in your browser. Search the page for "Disallow" rules. Confirm that none of the following are blocked: GPTBot, ChatGPT-User, PerplexityBot, ClaudeBot, anthropic-ai, Google-Extended, Bingbot. If any are blocked, that platform cannot cite you.
Law Firm AI Visibility Checklist — Selectio.ai selectio.ai/checklist
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The checklist shows you where to look. The audit shows you exactly where you stand. Our complimentary AI Visibility Audit maps your firm's citation share across ChatGPT, Perplexity, Claude, Gemini, and Copilot — and benchmarks you against the firms already appearing in your practice area.
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